Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

In clinical settings, most automatic recognition systems use visual or sensory data to
recognize activities. These systems cannot recognize activities that rely on verbal …

Trauma is a leading cause of mortality worldwide with about 20% of these deaths being
preventable. Most of these preventable deaths result from errors during the initial …

Manual annotation of unlabeled data for model training is expensive and time-consuming,
especially for visual datasets requiring domain-specific experience for multi-labeling, such …

Objective This study aims to explore speech as an alternative modality for human activity
recognition (HAR) in medical settings. While current HAR technologies rely on video and …

We present a speech-based approach to recognize team activities in the context of trauma
resuscitation. We first analyzed the audio recordings of trauma resuscitations in terms of …

Human-robot teams involve humans and robots collaborating to achieve tasks under various
environmental conditions. Successful teaming requires robots to adapt autonomously in real …

Trauma is the leading cause of mortality in children and young adults. The initial
resuscitation of injured patients is critical for identifying and managing life-threatening …

We introduce a video-based system for concurrent activity recognition during teamwork in a
clinical setting. During system development, we preserved patient and provider privacy by …

This article introduces a WeChat mini-program for Smart Oral Evaluation. In this mini-
program, we use Tencent Cloud's Smart Oral Evaluation interface and divide students into …